| Domain decluttering: Simplifying images to mitigate synthetic-real domain shift and improve depth estimation Y Zhao, S Kong, D Shin, C Fowlkes Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 32 | 2020 |
| Camera pose matters: Improving depth prediction by mitigating pose distribution bias Y Zhao, S Kong, C Fowlkes Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 18* | 2021 |
| GeoFill: Reference-Based Image Inpainting With Better Geometric Understanding Y Zhao, C Barnes, Y Zhou, E Shechtman, S Amirghodsi, C Fowlkes Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 6* | 2023 |
| Resisting Large Data Variations via Introspective Transformation Network Y Zhao, Y Tian, C Fowlkes, W Shen, A Yuille Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | | 2020 |
| GeoFill: Reference-Based Image Inpainting with Better Geometric Understanding–Supplementary Material– Y Zhao, C Barnes, Y Zhou, E Shechtman, S Amirghodsi, C Fowlkes | | |
| Camera Pose Matters: Improving Depth Prediction by Mitigating Pose Distribution Bias–Supplementary Material– Y Zhao, S Kong, C Fowlkes | | |
| Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation–Supplementary Material– Y Zhao, SKD Shin, C Fowlkes | | |
